The dataset consists of over 6800 labeled images of Persian road surface markings in 18 popular classes. It also contains road surface markings under various daylight conditions such as sunny, sunset and night time. Furthermore, this dataset contains images of marking signs in three different qualities, excellent, fair and poor. The poor images have serious occlusion, motion blur or are depreciated.
If you use this dataset, you are kindly requested to cite the following paper:
Seyed Hamid Safavi, Mohammad Eslami, Aliasghar Sharifi Najafabadi, Amirhosein Hajihoseini, Mohammadreza Riahi, Maryam Rekabi, Sadaf Sarafan, Rahman Zarnoosheh, Ehsan Khodapanah Aghdam, Sahar Barzegari Banadkoki, Seyed Mohammad Seyedin Navadeh, Farah Torkamani-Azar, "Image Dataset for Persian Road Surface Markings", The 10th Iranian Conference on Machine Vision and Image Processing, Accepted for Publication, 2017.
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